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Enhanced SPARQL-based design rationale retrieval

Published online by Cambridge University Press:  04 October 2016

Luye Li ,
Shuming Gao ,
Ying Liu  and
Xiaolian Qin
Luye Li
Affiliation:
Nanjing Research Institute of Electronics Technology, Nanjing, China State Key Laboratory of CAD and CG, Zhejiang University, Hangzhou, China
Shuming Gao*
Affiliation:
State Key Laboratory of CAD and CG, Zhejiang University, Hangzhou, China
Ying Liu
Affiliation:
Institute of Mechanical and Manufacturing Engineering, School of Engineering, Cardiff University, Cardiff, United Kingdom
Xiaolian Qin
Affiliation:
State Key Laboratory of CAD and CG, Zhejiang University, Hangzhou, China
*
Reprint requests to: Shuming Gao, State Key Laboratory of CAD and CG, Zhejiang University, Hangzhou, China. E-mail: [email protected]
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Abstract

Design rationale (DR) is an important category within design knowledge, and effective reuse of it depends on its successful retrieval. In this paper, an ontology-based DR retrieval approach is presented, which allows users to search by entering normal queries such as questions in natural language. First, an ontology-based semantic model of DR is developed based on the extended issue-based information system-based DR representation in order to effectively utilize the semantics embedded in DR, and a database of ontology-based DR is constructed, which supports SPARQL queries. Second, two SPARQL query generation methods are proposed. The first method generates initial SPARQL queries from natural language queries automatically using template matching, and the other generates initial SPARQL queries automatically from DR record-based queries. In addition, keyword extension and optimization is conducted to enhance the SPARQL-based retrieval. Third, a design rationale retrieval prototype system is implemented. The experimental results show the advantages of the proposed approach.

Keywords

Design Rationale RetrievalOntologySPARQL TemplateText Search
Type
Special Issue Articles
Information
AI EDAM , Volume 30 , Special Issue 4: Engineering Design Informatics , November 2016 , pp. 406 - 423
Copyright
Copyright © Cambridge University Press 2016 

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